{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p align=\"center\">\n",
    "    <img src=\"https://github.com/GeostatsGuy/GeostatsPy/blob/master/TCG_color_logo.png?raw=true\" width=\"220\" height=\"240\" />\n",
    "\n",
    "</p>\n",
    "\n",
    "## Spatial Estimation with Inverse Distance \n",
    "\n",
    "\n",
    "### Michael Pyrcz, Associate Professor, University of Texas at Austin \n",
    "\n",
    "##### [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)\n",
    "\n",
    "#### Spatial Estimation\n",
    "\n",
    "Consider the case of making an estimate at some unsampled location, $𝑧(\\bf{u}_0)$, where $z$ is the property of interest (e.g. porosity etc.) and $𝐮_0$ is a location vector describing the unsampled location.\n",
    "\n",
    "How would you do this given data, $𝑧(\\bf{𝐮}_1)$, $𝑧(\\bf{𝐮}_2)$, and $𝑧(\\bf{𝐮}_3)$?\n",
    "\n",
    "It would be natural to use a set of linear weights to formulate the estimator given the available data.\n",
    "\n",
    "\\begin{equation}\n",
    "z^{*}(\\bf{u}) = \\sum^{n}_{\\alpha = 1} \\lambda_{\\alpha} z(\\bf{u}_{\\alpha})\n",
    "\\end{equation}\n",
    "\n",
    "We could add an unbiasedness constraint to impose the sum of the weights equal to one.  What we will do is assign the remainder of the weight (one minus the sum of weights) to the global average; therefore, if we have no informative data we will estimate with the global average of the property of interest.\n",
    "\n",
    "\\begin{equation}\n",
    "z^{*}(\\bf{u}) = \\sum^{n}_{\\alpha = 1} \\lambda_{\\alpha} z(\\bf{u}_{\\alpha}) + \\left(1-\\sum^{n}_{\\alpha = 1} \\lambda_{\\alpha} \\right) \\overline{z}\n",
    "\\end{equation}\n",
    "\n",
    "We will make a stationarity assumption, so let's assume that we are working with residuals, $y$. \n",
    "\n",
    "\\begin{equation}\n",
    "y^{*}(\\bf{u}) = z^{*}(\\bf{u}) - \\overline{z}(\\bf{u})\n",
    "\\end{equation}\n",
    "\n",
    "If we substitute this form into our estimator the estimator simplifies, since the mean of the residual is zero.\n",
    "\n",
    "\\begin{equation}\n",
    "y^{*}(\\bf{u}) = \\sum^{n}_{\\alpha = 1} \\lambda_{\\alpha} y(\\bf{u}_{\\alpha})\n",
    "\\end{equation}\n",
    "\n",
    "while satisfying the unbaisedness constraint.  \n",
    "\n",
    "#### Inverse Distance\n",
    "\n",
    "Now the next question is what weights should we use?  \n",
    "\n",
    "We could use inverse distance weighting, $\\lambda = \\frac{1}{(d_{0,\\alpha})^p} \\forall \\alpha = 1,\\ldots,n$, where $0$ is the unknown location and there are $n$ local data available to support the estimate.   \n",
    "\n",
    "#### Getting Started\n",
    "\n",
    "Here's the steps to get setup in Python with the GeostatsPy package:\n",
    "\n",
    "1. Install Anaconda 3 on your machine (https://www.anaconda.com/download/). \n",
    "2. From Anaconda Navigator (within Anaconda3 group), go to the environment tab, click on base (root) green arrow and open a terminal. \n",
    "3. In the terminal type: pip install geostatspy. \n",
    "4. Open Jupyter and in the top block get started by copy and pasting the code block below from this Jupyter Notebook to start using the geostatspy functionality. \n",
    "\n",
    "You will need to copy the data file to your working directory.  They are available here:\n",
    "\n",
    "* Tabular data - sample_data_MV_biased.csv available at https://git.io/fhgu0.\n",
    "\n",
    "There are exampled below with these functions. You can go here to see a list of the available functions, https://git.io/fh4eX, other example workflows and source code. \n",
    "\n",
    "#### Load the required libraries\n",
    "\n",
    "The following code loads the required libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import geostatspy.GSLIB as GSLIB                       # GSLIB utilies, visualization and wrapper\n",
    "import geostatspy.geostats as geostats                 # GSLIB methods convert to Python    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will also need some standard packages. These should have been installed with Anaconda 3."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os                                               # to set current working directory \n",
    "import numpy as np                                      # arrays and matrix math\n",
    "import pandas as pd                                     # DataFrames\n",
    "import matplotlib.pyplot as plt                         # plotting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you get a package import error, you may have to first install some of these packages. This can usually be accomplished by opening up a command window on Windows and then typing 'python -m pip install [package-name]'. More assistance is available with the respective package docs.  "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "\n",
    "#### Set the working directory\n",
    "\n",
    "I always like to do this so I don't lose files and to simplify subsequent read and writes (avoid including the full address each time).  Also, in this case make sure to place the required (see above) GSLIB executables in this directory or a location identified in the environmental variable *Path*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "os.chdir(\"d:/PGE383\")                                   # set the working directory"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Loading Tabular Data\n",
    "\n",
    "Here's the command to load our comma delimited data file in to a Pandas' DataFrame object. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <th>X</th>\n",
       "      <th>Y</th>\n",
       "      <th>Facies</th>\n",
       "      <th>Porosity</th>\n",
       "      <th>Perm</th>\n",
       "      <th>AI</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>100.0</td>\n",
       "      <td>900.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.101319</td>\n",
       "      <td>1.996868</td>\n",
       "      <td>5590.417154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>100.0</td>\n",
       "      <td>800.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.147676</td>\n",
       "      <td>10.711789</td>\n",
       "      <td>3470.845666</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2</td>\n",
       "      <td>100.0</td>\n",
       "      <td>700.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.145912</td>\n",
       "      <td>17.818143</td>\n",
       "      <td>3586.988513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3</td>\n",
       "      <td>100.0</td>\n",
       "      <td>600.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.186167</td>\n",
       "      <td>217.109365</td>\n",
       "      <td>3732.114787</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4</td>\n",
       "      <td>100.0</td>\n",
       "      <td>500.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.146088</td>\n",
       "      <td>16.717367</td>\n",
       "      <td>2534.551236</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Unnamed: 0      X      Y  Facies  Porosity        Perm           AI\n",
       "0           0  100.0  900.0     0.0  0.101319    1.996868  5590.417154\n",
       "1           1  100.0  800.0     1.0  0.147676   10.711789  3470.845666\n",
       "2           2  100.0  700.0     1.0  0.145912   17.818143  3586.988513\n",
       "3           3  100.0  600.0     1.0  0.186167  217.109365  3732.114787\n",
       "4           4  100.0  500.0     1.0  0.146088   16.717367  2534.551236"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df = pd.read_csv(\"sample_data_MV_biased.csv\")                     # read a .csv file in as a DataFrame\n",
    "df.head()                                               # we could also use this command for a table preview "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's look at summary statistics for all facies combined:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>count</th>\n",
       "      <th>mean</th>\n",
       "      <th>std</th>\n",
       "      <th>min</th>\n",
       "      <th>25%</th>\n",
       "      <th>50%</th>\n",
       "      <th>75%</th>\n",
       "      <th>max</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Unnamed: 0</th>\n",
       "      <td>368.0</td>\n",
       "      <td>293.260870</td>\n",
       "      <td>169.058258</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>150.500000</td>\n",
       "      <td>296.000000</td>\n",
       "      <td>439.500000</td>\n",
       "      <td>586.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>X</th>\n",
       "      <td>368.0</td>\n",
       "      <td>499.565217</td>\n",
       "      <td>289.770794</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>240.000000</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>762.500000</td>\n",
       "      <td>990.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Y</th>\n",
       "      <td>368.0</td>\n",
       "      <td>520.644022</td>\n",
       "      <td>277.412187</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>269.000000</td>\n",
       "      <td>539.000000</td>\n",
       "      <td>769.000000</td>\n",
       "      <td>999.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Facies</th>\n",
       "      <td>368.0</td>\n",
       "      <td>0.597826</td>\n",
       "      <td>0.491004</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Porosity</th>\n",
       "      <td>368.0</td>\n",
       "      <td>0.127026</td>\n",
       "      <td>0.030642</td>\n",
       "      <td>0.041122</td>\n",
       "      <td>0.103412</td>\n",
       "      <td>0.125842</td>\n",
       "      <td>0.148623</td>\n",
       "      <td>0.210258</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Perm</th>\n",
       "      <td>368.0</td>\n",
       "      <td>85.617362</td>\n",
       "      <td>228.362654</td>\n",
       "      <td>0.094627</td>\n",
       "      <td>2.297348</td>\n",
       "      <td>10.377292</td>\n",
       "      <td>50.581288</td>\n",
       "      <td>1991.097723</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>AI</th>\n",
       "      <td>368.0</td>\n",
       "      <td>4791.736646</td>\n",
       "      <td>974.560569</td>\n",
       "      <td>1981.177309</td>\n",
       "      <td>4110.728374</td>\n",
       "      <td>4713.325533</td>\n",
       "      <td>5464.043562</td>\n",
       "      <td>7561.250336</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            count         mean         std          min          25%  \\\n",
       "Unnamed: 0  368.0   293.260870  169.058258     0.000000   150.500000   \n",
       "X           368.0   499.565217  289.770794     0.000000   240.000000   \n",
       "Y           368.0   520.644022  277.412187     9.000000   269.000000   \n",
       "Facies      368.0     0.597826    0.491004     0.000000     0.000000   \n",
       "Porosity    368.0     0.127026    0.030642     0.041122     0.103412   \n",
       "Perm        368.0    85.617362  228.362654     0.094627     2.297348   \n",
       "AI          368.0  4791.736646  974.560569  1981.177309  4110.728374   \n",
       "\n",
       "                    50%          75%          max  \n",
       "Unnamed: 0   296.000000   439.500000   586.000000  \n",
       "X            500.000000   762.500000   990.000000  \n",
       "Y            539.000000   769.000000   999.000000  \n",
       "Facies         1.000000     1.000000     1.000000  \n",
       "Porosity       0.125842     0.148623     0.210258  \n",
       "Perm          10.377292    50.581288  1991.097723  \n",
       "AI          4713.325533  5464.043562  7561.250336  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe().transpose()                          # summary table of all facies combined DataFrame statistics"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's also look at the distributions.  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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trGSNOrKJLDuFuIhcspmZGUZGRsIuQ2TF0jFxEbkkAwMD9Pb0kDp8mE26tKhIKBTiIrIoY2NjDA4OMrRvH63l5bRu2KDe6CIhUYiLyKJ0HzxIxenTXLF6NQ11dWGXI7KiBXpM3MxuN7MOMztiZh+f5/kGM/sfZrbHzPab2XuDrEdElmZmZoapiQnampsV4CIFILAQN7NS4IvAHcA1wDvM7Jo5s90LHHD3G4AdwF+bmfbLiRSok8eOUTEyQm11ddiliAjBbom/Bjji7sfcPQF8G7hrzjwO1JuZAXXAEJAMsCYRWYLx06fZ1tISdhkikmXuHsyCzd4G3O7u78tOvxu4xd3vmzVPPfAocBVQD/yBu//DPMu6B7gHoKWl5aZHHnkkkJrDFIvFqCvC3ZNqV7TM165UKsVMPA5AOpmkuqyMzP/d0RFLJqkrK74uQGpXdKTSaV7/5jc/6+4353O5Qf6W5lvL5/7H8EbgBeB3gcuBn5nZr9x97LwXuT8APACwfft237FjR/6rDVl7eztqV3SspHZ1dXaS2reP1qYmSktKItkTvb2vjx1r14ZdRt6pXdExGosFstwgd6d3A5tmTW8EeubM817g+55xBOgks1UuIgUglUrRf/IkDXV11FRVRTLARYpZkCG+C7jSzLZlO6u9ncyu89lOArcBmNlaYDtwLMCaRGQRkskkJbGYrg0uUqAC253u7kkzuw/4KVAKPOju+83s/dnn7wc+AzxkZnvJ7H7/mLsPBFWTiOQukUiw74knqA2o34yILF2gPQfc/THgsTmP3T/rfg/wr4KsQUQuzfT0NFWJBFe1tYVdiogsQBdAEZF59XR2UplKhV2GiFxAcfXhF5Eli8fjTE9PE5+YYFt9fdjliMgFKMRF5Dz7n3qK2okJaktKqG5qCrscEbkAhbiInJNIJCgbH2f7li2RG9BFZCXSMXERAWBwcJDk9DSXt7YqwEUiQiEuIoyPj3P8qaeoAOpqasIuR0RypBAXEYb6+mhKpSgrLQ27FBFZBIW4yAqXTqcZHhigvrY27FJEZJEU4iIrWDKZpOPFF0mdPk2ThlYViRyFuMgKNj09zfSJE1y3bh0lJfo6EIkarbUiK1xVZaWuTiYSUQpxkRWst6sLTyTCLkNELpEGexFZoQ7v3cv4iRNcvWZN2KWIyCVSiIusQENDQ4wfP84rWlqoKC8PuxwRuUQKcZEVpq+vj+7du9lYXa0AF4k4hbjIChGPx0mlUnQfOMBlNTWs1illIpGnEBdZAaanp9n/y19S486qVIrV69aFXZKI5IFCXGQFcHeq3Lm6pSXsUkQkj3SKmcgKEI/HSaXTYZchInmmLXGRIpZOpxkYGKD7yBHWuIddjojkmUJcpIiNjo7S/atfsbaujnXalS5SdBTiIkVsdGSEhpoaNjQ3h12KiARAx8RFitjIiRM019SEXYaIBERb4iJFrKysjKrS0rDLEJGAaEtcpEhNTk4yHYthZmGXIiIBUYiLFKmJiQlWzcxoaFWRIqYQFylSp44epVrXCRcpagpxkSI0PDxMqq+PttWrwy5FRAKkEBcpQvF4nLXl5ZSqU5tIUVOIixQRdyeRSJBIJCgp0eotUux0iplIETnW0cHISy9RUlLCVp0fLlL0FOIiRSIWizHS2ck1TU1UV1WFXY6ILAPtbxMpEqeOHmV1Oq0AF1lBFOIiRWBqaoqpiQma6+rCLkVElpFCXCTixsfHOfDMM1QPDFCjrXCRFUXHxEUibGZmhsPPPMOaeJzNbW3qkS6ywmiNF4moeDxOx8GDVI2MsHXdOgW4yAqkLXGRiBkdGWFkYIDh4WHKOzu5YtOmsEsSkZAoxEUiJJVKcWTPHhpHRthYV0fjli2UlWk1FlmptPaLREg8HqdkZITLNmzQJUZFRMfERaKmurJSAS4igEJcREQkshTiIiIiEaUQF4mQU52deCIRdhkiUiAU4iIREYvFGD95km3NzWGXIiIFQiEuEhHH9u+n2YyqysqwSxGRAqEQF4mIVDzO2oaGsMsQkQKiEBeJgNOnT5MeGqJcA7uIyCwKcZEI6Dl0iC2rVlFaWhp2KSJSQBTiIgUulUpBMkmjrhUuInMoxEUKXGdnJ5VjY9oKF5GXUYiLFLB4PM7o0aNcvm6dhloVkZdRiIsUsIH+flZNTlJdVRV2KSJSgBTiIgXK3RkeGGBVbW3YpYhIgVKIixSoVCpF4vRpmhsbwy5FRAqUQlykQA0PDsLMjDq0iciCFOIiBSiVSnHy0CE21tSEXYqIFDCFuEgBmpmZoXR8nLVr1oRdiogUMIW4SIHSEKsicjEKcZEC5O64e9hliEiBCzTEzex2M+swsyNm9vEF5tlhZi+Y2X4z+2WQ9YhExckjRyhJJMIuQ0QKXGD768ysFPgi8AagG9hlZo+6+4FZ8zQCXwJud/eTZtYaVD0iUTE0NESsq4trW1rCLkVEClyQW+KvAY64+zF3TwDfBu6aM887ge+7+0kAd+8PsB6RgubunDp1is6dO1lfUUFVZWXYJYlIgbOgjruZ2dvIbGG/Lzv9buAWd79v1jxfAMqBa4F64L+6+8PzLOse4B6AlpaWmx555JFAag5TLBajrgivUqV25W5mZoaZyUkqSkooC+nc8FgySV0RdqhTu6KlGNuVSqd5/Zvf/Ky735zP5Qb5W5rvag1z/2MoA24CbgOqgZ1m9pS7Hz7vRe4PAA8AbN++3Xfs2JH/akPW3t6O2hUd+W5XKpXihfZ2LmtoYHV9fd6Wu1jtfX3sWLs2tPcPitoVLcXYrtFYLJDlBrk7vRvYNGt6I9Azzzz/6O4T7j4A/DNwQ4A1iRScRCJBR0cHlSMjuma4iCxKkCG+C7jSzLaZWQXwduDROfP8CPhtMyszsxrgFuBggDWJFJy+nh5S+/frcqMismiB7U5396SZ3Qf8FCgFHnT3/Wb2/uzz97v7QTP7R+BFIA181d33BVWTSCEZGx1lbGSEwTNnWN/YqMuNisiiBdpzwN0fAx6b89j9c6Y/B3wuyDpECtHpo0cpPXmStpoamhoawi5HRCKouLr/iUSImdG6ejWrdBxcRC6Rhl0VCcHMzAzjQ0OUlGgVFJFLp28QkWU2NTXFizt3Ujk+Tp0uNSoiS6Dd6SLL7NihQ9QODXFFW1vYpYhIxGlLXGQZ7du1i3hXF5e3tVFWZCNSicjyyynEzey6oAsRKXZnzpxhurubV65bp2uFi0he5Lolfr+ZPWNmH8xeeUxEFqH7xAlO7trFtoYGSkMaF11Eik9OIe7utwLvIjOM6m4z+3sze0OglYkUiYmJCfoOH2Z7fb3OBxeRvMr5mLi7vwR8CvgY8DvA35jZITN7a1DFiUTd1NQUh554gjWplHqii0je5XpM/Hoz+zyZcc1/F3izu1+dvf/5AOsTibR4PE51Os3WlpawSxGRIpRr75r/BnwF+IS7T5190N17zOxTgVQmEnHuTueBA6zxuVfgFRHJj1xD/E5gyt1TAGZWAlS5+6S7fyOw6kQibGxsDO/vZ8P69WGXIiJFKtdj4j8HqmdN12QfE5EFxGIxVlVV6XxwEQlMriFe5e6xsxPZ++qlI3IBg52drK6oCLsMESliuYb4hJndeHbCzG4Cpi4wv8iKdqavj5npaeqqqy8+s4jIJcp1P98fA98xs57sdBvwB8GUJBJtU1NTnHz+eTaVllJVWRl2OSJSxHIKcXffZWZXAdsBAw65+0yglYlE1OjoKKump2nduDHsUkSkyC2mx82rga3Z17zKzHD3hwOpSiTC+rq6aKmqCrsMEVkBcgpxM/sGcDnwApDKPuyAQlxkluGhIZI9PazTaWUisgxy3RK/GbjGXaNWiCwknU5zbN8+NlRVUVKiq/yKSPBy/abZB6wLshCRqOs9dQrOnGFdc3PYpYjICpHrlngzcMDMngGmzz7o7r8XSFUiERSfmGBLo67UKyLLJ9cQ/3SQRYhEXSKRYLiri1Z1aBORZZTrKWa/NLMtwJXu/nMzqwFKgy1NJBqSySSxWIyKZFKXGxWRZZVr7/Q/Au4Bmsj0Ut8A3A/cFlxpItGwf/duUn19tGh0NhFZZrnuTr8XeA3wNIC7v2RmrYFVJRIRo6OjJHt7uaGtTRc6EZFll2vv9Gl3T5ydMLMyMueJi6xosViMRl2pTERCkmuI/9LMPgFUm9kbgO8A/yO4skQKXyqVovfwYVaVl4ddioisULmG+MeBM8Be4H8DHgM+FVRRIoXO3eno6KBiaIjmhoawyxGRFSrX3ulp4CvZm8iKl0wmSe3dyxUbN2JmYZcjIitUrr3TO5nnGLi7X5b3ikQKXGx8nOTMDGsaGqjWeeEiEqLFjJ1+VhXwr8mcbiayorg7R/bvpySRoLWtLexyRGSFy+mYuLsPzrqdcvcvAL8bcG0iBedMXx+p3l4qKyrUI11EQpfr7vQbZ02WkNkyrw+kIpEClUwm6Tp0iE21tRyYmQm7HBGRnHen//Ws+0ngOPBv8l6NSAHrPn6cksFBWrdu5UBfX9jliIjk3Dv9dUEXIlLI4vE4g0ePsr1VAxWKSOHIdXf6n17oeXf/L/kpR6QwJRIJ6tJpXeBERArKYnqnvxp4NDv9ZuCfga4gihIpRCU6H1xECkyuId4M3Oju4wBm9mngO+7+vqAKEykkyWSStOtyASJSWHIddnUzkJg1nQC25r0akQJ1/OBBqrUlLiIFJtct8W8Az5jZD8iM3PYW4OHAqhIpEO7OyZMn8TNnWK/BXUSkwOTaO/0vzewnwG9nH3qvuz8fXFki4RsfH6e3t5exvXu5rKlJg7uISMFZzLdSDTDm7n9rZi1mts3dO4MqTCRMU1NTHH7ySVan0/xGczP1tbVhlyQi8jK5nmL2F2R6qG8H/hYoB/4O+K3gShMJT/+pU6yKx7ls48awSxERWVCuHdveAvweMAHg7j1o2FUpUu7O2NgYjdr6FpECl2uIJ9zdyV6O1Mz07SZFK5FIkOjuZnW9/k8VkcKWa4g/Ymb/L9BoZn8E/Bz4SnBliYRndHiYUlBHNhEpeLn2Tv+/zewNwBiZ4+J/7u4/C7QykRAkk0m6OjrYUFkZdikiIhd10RA3s1Lgp+7+ekDBLUVtenqa0pER1qlDm4hEwEV3p7t7Cpg0s4ZlqEckdFXaCheRiMj1oF8c2GtmPyPbQx3A3T8USFUiIent6sITiYvPKCJSAHIN8X/I3kSKWiIWY0ODdjqJSDRcMMTNbLO7n3T3ry9XQSJhmZycZLK/n4rGxrBLERHJycWOif/w7B0z+17AtYiEampqilVmOiYuIpFxsRCffe3Fy4IsRCRsp44coUqXGxWRCLlYiPsC90WKiruTnJqiZdWqsEsREcnZxTq23WBmY2S2yKuz98lOu7vrG0+KQk9PDz44SPmmTWGXIiKSswuGuLuXLlchImFJpVL0dnSwramJ0lL9yYtIdOQ6drpI0ers7KRyeFgXPBGRyFGIy4rW39/P6NGjXL5uHaZObSISMQpxWbGSySRdu3axtayM6qqqsMsREVm0QEPczG43sw4zO2JmH7/AfK82s5SZvS3IekTmKistZY0GdxGRiAosxLNXP/sicAdwDfAOM7tmgfn+CvhpULWIzJVOp+ns6CA5PR12KSIilyzILfHXAEfc/Zi7J4BvA3fNM9+/B74H9AdYi8h5Tnd3M9bRwTXNzWGXIiJyyXK9AMql2AB0zZruBm6ZPYOZbQDeAvwu8OqFFmRm9wD3ALS0tNDe3p7vWkMXi8XUrmU0PTVFaXk5T4+Owujool8fSyZp7+sLoLJwqV3RonZFRyqdDmS5QYb4fF1954769gXgY+6eulDPYHd/AHgAYPv27b5jx4581Vgw2tvbUbuWz5EXX6RleJiGurpLen17Xx871q7Nc1XhU7uiRe2KjtFYLJDlBhni3cDs4a82Aj1z5rkZ+HY2wJuBO80s6e4/RCQg09PTjPb20lZTE3YpIiJLEmSI7wKuNLNtwCng7cA7Z8/g7tvO3jezh4AfK8AlSAeff57J/n4akklqq6vDLkdEZEkCC3F3T5rZfWR6nZcCD7r7fjN7f/b5+4N6b5H5pFIppkdHuW7VKiorKsIuR0RkyYLcEsfdHwMem/PYvOHt7ncHWQEJZMoAABVtSURBVIusbO7OC088QdnoKGVtbWGXIyKSFxqxTVaE7u5u6O/n+g0bdJETESkaCnEpeu5O/+HDXNnaqvHRRaSoKMSl6I2OjkIiwapLPJ1MRKRQKcSlqM3MzHB0507atAtdRIqQQlyK2uTkJJZOs37NmrBLERHJO4W4FC13p/PgQZoCGu5QRCRsCnEpWlNTU6T6+ti8bl3YpYiIBEIhLkUpmUxy4qWXqCoro6REf+YiUpwCHexFJAynjh9n4PRpvKeHqzSwi4gUMYW4FI2xsTG6Dx5kamCAbdXV1G/cSHmZ/sRFpHjpG06KwkB/Pyf27WPNxASXrVlDVWVl2CWJiAROIS5FYWJsjLXxOBva2jQqm4isGOrxI5GXTCYZOHmS+tpaBbiIrCgKcYm8ZDJJWTxOg4ZVFZEVRiEukZZKpTh++DBliUTYpYiILDuFuETa0f37mTh6lMtbW8MuRURk2SnEJdLiExNsb25Wb3QRWZEU4hJZY2NjzPT3U1VREXYpIiKhUIhLZE1MTLCqooIyDegiIiuUQlwiKZVK0dPRQUN5ediliIiERiEukTQ8PEz54CAtjY1hlyIiEhqFuETS6PAwq2pqNLiLiKxoCnGJnKmpKUaOHqWlvj7sUkREQqUQl8gZHR2lPh6ntro67FJEREKlEJdIqqmqCrsEEZHQKcQlck4fP06pjoWLiCjEJVqGBgdJ9/aybs2asEsREQmdQlwiI51O07lvH5t0yVEREQA01JUUNHcnnU4zMzPD/p07KR8dpXXTprDLEhEpCApxKWgvPv00ycFBABrMuEIBLiJyjkJcCtbw8DDJ3l5euX49paWlYZcjIlJwdExcClYymaSluloBLiKyAIW4FKR0Os3o6CjuHnYpIiIFSyEuBam/v5/RF16gUaOyiYgsSCEuBWl8fJy2ujoa6urCLkVEpGApxKXgTE5OMnbsGKt1gRMRkQtSiEtBcXeOdXTQMDVFtcZHFxG5IJ1iJgVjeGiIwd5epk+e5Kq2trDLEREpeApxKQjJZJJje/awJhZje1MTZWX60xQRuRh9U0pB6OrspGx4mK1btoRdiohIZOiYuIRuamqKoWPHuKy5OexSREQiRVviEgp35+Bzz5GOx5menqYhkaBeIS4isigKcQlFOp1mqreX65qaoLqacp1OJiKyaApxCU1paSmVFRVhlyEiElk6Ji4iIhJRCnEJRTqdJpVKhV2GiEikKcQlFCc7OymPx8MuQ0Qk0hTisuwmJycZ6ezkinXrwi5FRCTSFOKy7I4ePEhDIkGNxkYXEVkShbgsq4mJCRKnTrGltTXsUkREIk8hLstqYmKC6vJyyjU2uojIkinEZdmMDA/TdfAgjWZhlyIiUhS0OSTL4kxfHyf37aMlHqdt7dqwyxERKQoKcVkWJ198kU1Aq3qki4jkjXanS+AmJychmWRNQ0PYpYiIFBWFuARubGyMhkSC0tLSsEsRESkqCnEJXM+xY9TqnHARkbxTiEvgfGyMdWvWhF2GiEjRUYhLoJLJJExNYTqtTEQk7xTiEph0Ok0iHmebOrSJiAQi0BA3s9vNrMPMjpjZx+d5/l1m9mL29qSZ3RBkPbK80uk0lk7TpBAXEQlEYCFuZqXAF4E7gGuAd5jZNXNm6wR+x92vBz4DPBBUPbL8UqkU7h52GSIiRSvILfHXAEfc/Zi7J4BvA3fNnsHdn3T34ezkU8DGAOuRZdbb1UWJQlxEJDBBjti2AeiaNd0N3HKB+f8Q+Ml8T5jZPcA9AC0tLbS3t+epxMIRi8WKrl3xqSlmzGjv6wu7lLyLJZNqV4SoXdFSjO1KpdOBLDfIEJ+vO/K8m2Vm9joyIX7rfM+7+wNkd7Vv377dd+zYkacSC0d7ezvF1K7R0VGOPPEEY2Vl7CjCsdLb+/rUrghRu6KlGNs1GosFstwgd6d3A5tmTW8EeubOZGbXA18F7nL3wQDrkWXUf/IkzaBTy0REAhRkiO8CrjSzbWZWAbwdeHT2DGa2Gfg+8G53PxxgLbKM0uk0sfFxGuvqwi5FRKSoBbY73d2TZnYf8FOgFHjQ3feb2fuzz98P/DmwBvhSdost6e43B1WTLI+JiQm8r4/6jRthYiLsckREilaglyJ198eAx+Y8dv+s++8D3hdkDRKO2upqSko0lpCISJD0LSt5NzwwgKdSYZchIlL0At0Sl5VlamqKk4cOEevv5/La2rDLEREpetoSl7yJxWKkT5zgqtpaGuvrwy5HRKToKcQlb3o6O6mvrqa2ujrsUkREVgTtTpclSaVS7H3qKSyRIDk2RltbW9gliYisGApxWZJUKoWPjHBdczMldXXqkS4isowU4nJJ0uk0yWSSk8eOUTI9TVmZ/pRERJabvnnlkuzfvZtEfz8l7mwvsjGORUSiQiEuizY6Okri9GluWLdOW+AiIiHSAUxZlKmpKYaGhlhdUaEAFxEJmb6FZVEOPPkk9YkELTqNTEQkdApxydnMzAwkk1zZ0qJLjIqIFADtTpecnenvpyYWU4CLiBQIhbgsiq4RLiJSOBTikpPY+Dj9PT1hlyEiIrMoxCUng319VJ88SUtjY9iliIhIlkJcctbU0KDTykRECohCXEREJKK0WSULisfjvPT885S4E5+cZJsubiIiUlAU4jKvWCxGxzPPUBeLsaW5GWpqqKqsDLssERGZRSEu84rH4zRMTXH5+vU6L1xEpEBp/6jM68ShQ1SXlyvARUQKmLbE5TzuTiKRgKkp1jY0hF2OiIhcgEJcztPb00PPs89SBZTonHARkYKmEJfzTE5OsrGqirVr1oRdioiIXISOics5w8PDjHR2UldTE3YpIiKSA22JC+7O6dOnOf3CC7SVlVGra4WLiESCQnyFS6fTHD9+nOG9e9lSX0+zOrOJiESGQnyF6+7uZvj557miuZkGXWZURCRSdEx8hRs6dozLmpoU4CIiEaQQX8F6T50ilUjoGLiISEQpxFeoiYkJTu3Zw7ayMirKy8MuR0RELoGOia8w6XSaYwcPMjo4SFMySZM6somIRJZCfAVJJpMcfPZZEqdO8RvNzdS2tYVdkoiILIFCfAWYnJzk8O7dpJNJysbGuH7DBsrL9NGLiESdvsmL3N6nnyYxNsbqRIKNa9ZQVl9PSYm6QoiIFAOFeBFKJpPseeIJmJ6GiQlu2LCB0tJSXVZURKTIKMSL0MzMDOWTk1y/di00N4ddjoiIBET7VYtMPB7n+OHDlM3MhF2KiIgETFviRWR8fJzDv/oVlek0V7S0hF2OiIgETCEeYePj46TT6XPTIyMjrDLjSp06JiKyIijEI2p0dJQjTz5Jw6zOau5OU1VViFWJiMhyUohHTDqdZnBwkK6XXmJNOs3WdevCLklEREKiEI+Q4eFh+vv7ie3bR2ttLet13FtEZEVTiEfIsV27aE0m2bh2ra48JiIiCvFC5+70dHWRTCQgnWZDS4tGXBMREUAhXvBmZmboffFFtlRX01hdrQAXEZFzFOIFbmRoCEulaG5sDLsUEREpMArxApVIJDi6dy+TIyNs1PFvERGZh0K8QMXjcZKnTnFVU5M6sYmIyLwU4iEYHR3lyO7dlM06vj0Vi7HnF784N51MpVhdXq4AFxGRBSnEA+LuuDsAnYcOMdLVde5SoO5OG9Ay6zj30OQk19TUnLeMstLSZatXRESiRyGeJ8lk8lxouzt7d+7EpqYy09PTXNvSQkV5+bn55/YyNzPKy/RxiIhI7pQaS5RMJhkaGqLruefO+2VWJRJcu2FDaHWJiEjxU4gvgbuz54knKJucZFNlJa06DUxERJaRQnwJ+np7KR0Y4IZt28IuRUREViAN/3WJZmZmGB4eZm19fdiliIjICqUt8UswNDREz8mTJI8epUGXAhURkZAoxHM0OjpKPB5nYmKC4X37aK6ooG3DhvN6nIuIiCwnhfg80uk0fb29504ZAzh98CBrpqepKC3lioYGGurqQqxQREQk4BA3s9uB/wqUAl919/8053nLPn8nMAnc7e7PXWiZ7s7JY8cCqjhjcnKSiY4O1s8K6i1lZTRr17mIiBSQwELczEqBLwJvALqBXWb2qLsfmDXbHcCV2dstwJezPxfmTtXRo4HUfFYVsHndOmqqqgJ9HxERkaUIckv8NcARdz8GYGbfBu4CZof4XcDDntlv/ZSZNZpZm7ufXnCp7oylUgGWnTE2Pg7j44G/z1nTySRHzpxZtvdbLmpXtKhd0aJ2RcdkPB7IcoMM8Q1A16zpbl6+lT3fPBuA80LczO4B7slOTl95xx378ltqQWgGBsIuIgBqV7SoXdGidkXL9nwvMMgQt3ke80uYB3d/AHgAwMx2u/vNSy+vsKhd0aJ2RYvaFS3F3K58LzPIwV66gU2zpjcCPZcwj4iIiMwjyBDfBVxpZtvMrAJ4O/DonHkeBf5Xy3gtMHrB4+EiIiJyTmC70909aWb3AT8lc4rZg+6+38zen33+fuAxMqeXHSFzitl7c1j0AwGVHDa1K1rUrmhRu6JF7cqRzR7QRERERKJDF0ARERGJKIW4iIhIRIUa4mZ2u5l1mNkRM/v4PM+bmf1N9vkXzezGWc8dN7O9ZvbC7G77ZtZkZj8zs5eyP1cvV3tm1XBJ7TKz7dn2nL2NmdkfZ5/7tJmdmvXcnQXYrqvMbKeZTZvZR3N5bUQ+r3nbZWabzOwXZnbQzPab2YdnPRf1zyvK69dCn1fU1693Zb8vXjSzJ83shou9NiKf17ztKoL160KfV/7WL3cP5Uams9tR4DKgAtgDXDNnnjuBn5A5n/y1wNOznjsONM+z3P8MfDx7/+PAX0WpXXOW0wtsyU5/GvhogX9ercCrgb+cXeuFXhuRz2uhdrUBN2bv1wOHZ7Ursp9X9rkor18LtmvOcqK2fv0LYHX2/h1nvzeKYP1aqF1RX7/mbVd2Om/rV5hb4ueGZXX3BHB2WNbZzg3L6u5PAY1m1naR5d4FfD17/+vA7+ez6Bzkq123AUfd/UTwJefkou1y93533wXMLOK1Bf95LdQudz/t2Qv2uPs4cJDMiIOFYCmf14VE9vOaI4rr15PuPpydfIrMuBoXe20UPq9521UE69dCn9eFLPrzCjPEFxpyNdd5HPgnM3vWMsOynrXWs+eaZ3+25rXqi1tqu856O/CtOY/dl90182AIu8VyqflSXhuFz+uizGwr8Crg6VkPR/XzgmivX7mI+vr1h2T25l3stVH7vGa365wiWL/mtitv61eYIb7UYVl/y91vJLOb4l4z+5f5LG4JljzcrGUGx/k94Duznv8ycDnwSjJjy//10spctJyGyA3gtUFbcm1mVgd8D/hjdx/LPhzlzwuivX5deAERX7/M7HVkQuFji31tCJbSrrOPR3r9WqBdeVu/wgzxJQ3L6u5nf/YDPyCzewOg7+yu6ezP/rxXfmH5GG72DuA5d+87+4C797l7yt3TwFf4dXuXy1KGyL3Qa6PweS3IzMrJfMF8092/f/bxiH9eUV+/Liay65eZXQ98FbjL3QdzeG0kPq8F2hX59WuhduVz/QozxC95WFYzqzWzegAzqwX+FbBv1mvek73/HuBHQTdkjnwMN/sO5uzqm3PM/C38ur3LJZd2Xcpro/B5zcvMDPgacNDd/8uc5yL7eRXB+nUxkVy/zGwz8H3g3e5+OMfXFvzntVC7or5+XaBd+V2/LtbzLcgbmV7ah8n08vtk9rH3A+/P3jfgi9nn9wI3Zx+/jExvwD3A/rOvzT63BvifwEvZn01RaVf2uRpgEGiYs8xvZOd9MftBtxVgu9aR+Q91DBjJ3l+10Gsj9HnN2y7gVjK70F4EXsje7oz651UE69eF/g6jvH59FRie9be2+0KvjdDnNW+7imD9WqhdeV2/NOyqiIhIRGnENhERkYhSiIuIiESUQlxERCSiFOIiIiIRpRAXERGJKIW4SMDMLJW9WtE+M/uOmdUE+F7/0cxen73/x4t9r+zYBY+b2ars9IcscxWpb+ahtrvNbP2s6a+a2TWXuKz7zOy9S61JJOp0iplIwMws5u512fvfBJ71OYNXLPA6I7OOpi/xfY+TGYNgYBGv+V+A17v7n2SnDwF3uHvnnPnK3D25yHrayVx5avfF5s1hWTXA/+fur1rqskSiTFviIsvrV8AVAGb2p9mt83326+tab81u+X4JeA7YZGbvsMy1h/eZ2V9l5ys1s4eyj+01s7Oh+5CZvc3MPgSsB35hmWsy/6GZff5sEWb2R2Y23z8S7yI7SpSZ3U9mYIpHzexPLHMN5wfM7J+Ah7O1/srMnsve/sWs5f/v2br2mNl/MrO3ATcD38zulag2s3Yzuzk7/8vamH08ZmZ/mV3OU2a2FsDdJ4HjZrbcw22KFJblHuVGN91W2g2IZX+WkQnIDwA3kRlxqhaoIzNy06uArUAaeG32NeuBk0BL9vWPk7k84U3Az2a9R2P250PA27L3j5O9ZnH2fY4C5dnpJ4FXzFPrCaB+1vTsZXwaeBaozk7XAFXZ+1fy6xGp7sguvyY73ZT92c75oxO2kwn2eduYnceBN2fv/2fgU7Ne/0ngI2F/vrrpFuZNW+Iiwas2sxeA3WTC6mtkhpT8gbtPuHuMzBjLv52d/4RnrjMP8Gqg3d3PeGb39TeBfwkcAy4zs//HzG4nM8Togtx9gkw4vsnMriIT5nvnmbXJM9duXsij7j6VvV8OfMXM9pK5ItjZ49uvB/7WM1vLuPvQhWq7QBsBEsCPs/efJfNPzln9ZP4BEFmxysIuQGQFmHL3V85+IHu8eyETs2edbwZ3HzazG4A3AvcC/wb4dxep46vAJ4BDwN8uME/SzEp84ePws2v7E6APuIHMobn4rJoX09nmQr+LGXc/u6wU539nVQFTL3+JyMqhLXGRcPwz8PtmVpO9ktFbyBwvn+tp4HfMrNnMSslcgeuXZtYMlLj794A/A26c57XjQP3ZCXd/mszlE9/JnKt4zdJB5jh4LhqA09nAfzdQmn38n4B/d7ZnvJk1zVfPxdqYw/v/Bst/9SqRgqIQFwmBuz9H5vj1M2RC7Kvu/vw8850G/g/gF2SuevScu/8I2AC0Z3fTP5SdZ64HgJ+Y2S9mPfYImV7dwwuU9g/Ajhyb8SXgPWb2FJlAncjW/I9kriy1O1vfR7PzPwTcf7ZjWw5tvJjfAn6eY60iRUmnmImsIGb2Y+Dz7v4/F3i+DXjY3d+wvJUtjpm9CvhTd3932LWIhElb4iIrgJk1mtlhMsfn5w1wOLdV/JWzg70UsGYyhxFEVjRtiYuIiESUtsRFREQiSiEuIiISUQpxERGRiFKIi4iIRJRCXEREJKL+f1UAwMAfRxrWAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.subplot(111)                                        # plot original sand and shale porosity histograms\n",
    "plt.hist(df['Porosity'], facecolor='red',bins=np.linspace(0.0,0.25,1000),histtype=\"stepfilled\",alpha=0.2,density=True,cumulative=True,edgecolor='black',label='Original')\n",
    "plt.xlim([0.05,0.25]); plt.ylim([0,1.0])\n",
    "plt.xlabel('Porosity (fraction)'); plt.ylabel('Frequency'); plt.title('Porosity')\n",
    "plt.legend(loc='upper left')\n",
    "plt.grid(True)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=1.0, top=1.2, wspace=0.2, hspace=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can observe from the CDFs that the porosity distribution is 'Gaussian-like' in shape, while the permeability distribution is 'lognormal-like'.  They both look well behaved.\n",
    "\n",
    "For brevity we will omit data declustering from this workflow. We will assume declustered means for the porosity and permeability to apply with simple kriging.\n",
    "\n",
    "Let's plot the location maps of porosity and permeability for all facies. We will also include a cross plot of permeability vs. porosity colored by facies to aid with comparison in spatial features between the porosity and permeability data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cmap = plt.cm.plasma                    # color map\n",
    "plt.subplot(111)\n",
    "GSLIB.locmap_st(df,'X','Y','Porosity',0,1000,0,1000,0,0.25,'Porosity - All Facies','X (m)','Y (m)','Nscore Porosity',cmap)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=1.0, top=1.0, wspace=0.5, hspace=0.3)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Inverse Distance\n",
    "\n",
    "To demonstrate inverse distance, we include a inverse distance function.  \n",
    "\n",
    "* it is a modification of the 2D kriging program in GeostatsPy "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "import scipy.spatial as sp  # for fast nearest neighbor search\n",
    "\n",
    "def invdist(\n",
    "    df,\n",
    "    xcol,\n",
    "    ycol,\n",
    "    vcol,\n",
    "    tmin,\n",
    "    tmax,\n",
    "    nx,\n",
    "    xmn,\n",
    "    xsiz,\n",
    "    ny,\n",
    "    ymn,\n",
    "    ysiz,\n",
    "    ndmin,\n",
    "    ndmax,\n",
    "    radius,\n",
    "    power\n",
    "):\n",
    "    \"\"\" Inverse Distance to Python by Michael Pyrcz, the University of Texas at\n",
    "    Austin (April, 2020).  Based on modification of the GSLIB kb2d program by Deutsch and Journel (1997)\n",
    "    :param df: pandas DataFrame with the spatial data\n",
    "    :param xcol: name of the x coordinate column\n",
    "    :param ycol: name of the y coordinate column\n",
    "    :param vcol: name of the property column\n",
    "    :param tmin: property trimming limit\n",
    "    :param tmax: property trimming limit\n",
    "    :param nx: definition of the grid system (x axis)\n",
    "    :param xmn: definition of the grid system (x axis)\n",
    "    :param xsiz: definition of the grid system (x axis)\n",
    "    :param ny: definition of the grid system (y axis)\n",
    "    :param ymn: definition of the grid system (y axis)\n",
    "    :param ysiz: definition of the grid system (y axis)\n",
    "    :param ndmin: minimum number of data points to use for kriging a block\n",
    "    :param ndmax: maximum number of data points to use for kriging a block\n",
    "    :param radius: maximum isotropic search radius\n",
    "    :param power: the inverse distance power\n",
    "    :return:\n",
    "    \"\"\"\n",
    "    \n",
    "# Constants\n",
    "    UNEST = -999.\n",
    "    EPSLON = 1.0e-10\n",
    "    VERSION = 0.1\n",
    "        \n",
    "# Load the data\n",
    "    df_extract = df.loc[(df[vcol] >= tmin) & (df[vcol] <= tmax)]    # trim values outside tmin and tmax\n",
    "    nd = len(df_extract)\n",
    "    ndmax = min(ndmax,nd)\n",
    "    x = df_extract[xcol].values\n",
    "    y = df_extract[ycol].values\n",
    "    vr = df_extract[vcol].values\n",
    "    \n",
    "# Allocate the needed memory:   \n",
    "    xa = np.zeros(ndmax)\n",
    "    ya = np.zeros(ndmax)\n",
    "    vra = np.zeros(ndmax)\n",
    "    dist = np.zeros(ndmax)\n",
    "    nums = np.zeros(ndmax)\n",
    "    s = np.zeros(ndmax)\n",
    "    estmap = np.zeros((nx,ny))\n",
    "    \n",
    "# Make a KDTree for fast search of nearest neighbours   \n",
    "    dp = list((y[i], x[i]) for i in range(0,nd))\n",
    "    data_locs = np.column_stack((y,x))\n",
    "    tree = sp.cKDTree(data_locs, leafsize=16, compact_nodes=True, copy_data=False, balanced_tree=True)\n",
    "\n",
    "# Summary statistics for the data after trimming\n",
    "    avg = vr.mean()\n",
    "    stdev = vr.std()\n",
    "    ss = stdev**2.0\n",
    "    vrmin = vr.min()\n",
    "    vrmax = vr.max()\n",
    "\n",
    "# Initialize accumulators:\n",
    "    rad2 = radius*radius\n",
    "\n",
    "# MAIN LOOP OVER ALL THE BLOCKS IN THE GRID:\n",
    "    nk = 0\n",
    "    ak = 0.0\n",
    "    vk = 0.0\n",
    "    for iy in range(0,ny):\n",
    "        yloc = ymn + (iy-0)*ysiz  \n",
    "        for ix in range(0,nx):\n",
    "            xloc = xmn + (ix-0)*xsiz\n",
    "            current_node = (yloc,xloc)\n",
    "        \n",
    "# Find the nearest samples within each octant: First initialize\n",
    "# the counter arrays:\n",
    "            na = -1   # accounting for 0 as first index\n",
    "            dist.fill(1.0e+20)\n",
    "            nums.fill(-1)\n",
    "            dist, nums = tree.query(current_node,ndmax) # use kd tree for fast nearest data search\n",
    "            # remove any data outside search radius\n",
    "            nums = nums[dist<radius]\n",
    "            dist = dist[dist<radius] \n",
    "            nd = len(dist)        \n",
    "            \n",
    "# Is there enough samples?\n",
    "            if nd < ndmin:   # accounting for min index of 0\n",
    "                est  = UNEST\n",
    "#                print('UNEST at ' + str(ix) + ',' + str(iy))  # option to include this error\n",
    "            else:\n",
    "\n",
    "# Put coordinates and values of neighborhood samples into xa,ya,vra:\n",
    "                for ia in range(0,nd):\n",
    "                    jj = int(nums[ia])\n",
    "                    xa[ia]  = x[jj]\n",
    "                    ya[ia]  = y[jj]\n",
    "                    vra[ia] = vr[jj]\n",
    "                    \n",
    "# Solve for weights\n",
    "                dist = np.sqrt((xa-xloc)*(xa-xloc) + (ya-yloc)*(ya-yloc)) \n",
    "                s = 1/((dist + EPSLON)**power)        # calculate inverse weights\n",
    "                s = s / np.sum(s)             # constrain sum of the weights to 1.0 for unbiasedness\n",
    "                est = 0.0                \n",
    "                for ia in range(0,nd):\n",
    "                    est = est + s[ia] * vra[ia]\n",
    "                \n",
    "            estmap[ny-iy-1,ix] = est\n",
    "\n",
    "# Track the estimates\n",
    "            if est > UNEST:\n",
    "                nk = nk + 1\n",
    "                ak = ak + est\n",
    "                vk = vk + est*est\n",
    "\n",
    "# END OF MAIN LOOP OVER ALL THE BLOCKS:\n",
    "\n",
    "    if nk >= 1:\n",
    "        ak = ak / float(nk)\n",
    "        vk = vk/ float(nk) - ak*ak\n",
    "        print('  Estimated   ' + str(nk) + ' blocks ')\n",
    "        print('      average   ' + str(ak) + '  variance  ' + str(vk))\n",
    "\n",
    "    return estmap\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Simple Test at Single Location\n",
    "\n",
    "Let's test the method for a single estimation location.\n",
    "\n",
    "* the result was validated with by-hand calculation for inside range, outside range and collocated with a data point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Estimated   1 blocks \n",
      "      average   2.041214750542347  variance  0.0\n",
      "The single estimate at x = 500, y = 500 is 2.041214750542347.\n"
     ]
    }
   ],
   "source": [
    "x = [100,600,800]; y = [100,500,700]; vr = [1.0,2.0,3.0]\n",
    "dftest1 = pd.DataFrame({'X':x,'Y':y,'Var':vr})\n",
    "tmin = -9999.9; tmax = 9999.9; \n",
    "nx = 1; xsiz = 10.0; xmn = 500\n",
    "ny = 1; ysiz = 10.0; ymn = 500\n",
    "ndmin = 1; ndmax = 100\n",
    "radius = 1000.0; power = 2\n",
    "\n",
    "invdist_est = invdist(dftest1,'X','Y','Var',tmin,tmax,nx,xmn,xsiz,ny,ymn,ysiz,ndmin,ndmax,radius,power)\n",
    "print('The single estimate at x = ' + str(xmn) + ', y = ' + str(ymn) + ' is ' + str(invdist_est[0][0]) + '.')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Build a Estimation Map\n",
    "\n",
    "Now we check the method by building maps with 3 different powers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Estimated   10000 blocks \n",
      "      average   2.4785256874279527  variance  0.18122365890746384\n",
      "  Estimated   10000 blocks \n",
      "      average   2.4797288690464803  variance  0.5062609912988218\n",
      "  Estimated   10000 blocks \n",
      "      average   2.4893068152705276  variance  0.7378534388298741\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = [250,600,800,400]; y = [800,500,700,100]; vr = [1.0,2.0,3.0,4.0]\n",
    "dftest2 = pd.DataFrame({'X':x,'Y':y,'Var':vr})\n",
    "tmin = -9999.9; tmax = 9999.9; \n",
    "nx = 100; xsiz = 10.0; xmn = 5.0; xmin = xmn - 0.5 * xsiz; xmax = xmin + nx * xsiz\n",
    "ny = 100; ysiz = 10.0; ymn = 5.0; ymin = ymn - 0.5 * ysiz; ymax = ymin + ny * ysiz\n",
    "ndmin = 1; ndmax = 100\n",
    "radius = 10000.0; power = 2\n",
    "\n",
    "invdist_map_power1 = invdist(dftest2,'X','Y','Var',tmin,tmax,nx,xmn,xsiz,ny,ymn,ysiz,ndmin,ndmax,radius,power=1)\n",
    "invdist_map_power2 = invdist(dftest2,'X','Y','Var',tmin,tmax,nx,xmn,xsiz,ny,ymn,ysiz,ndmin,ndmax,radius,power=2)\n",
    "invdist_map_power3 = invdist(dftest2,'X','Y','Var',tmin,tmax,nx,xmn,xsiz,ny,ymn,ysiz,ndmin,ndmax,radius,power=3)\n",
    "\n",
    "# plot the reuslting estimated maps\n",
    "plt.subplot(131)\n",
    "GSLIB.locpix_st(invdist_map_power1,xmin,xmax,ymin,ymax,xsiz,0.0,4.0,dftest2,'X','Y','Var','Power = 1','X(m)','Y(m)','Feature',cmap)\n",
    "\n",
    "plt.subplot(132)\n",
    "GSLIB.locpix_st(invdist_map_power2,xmin,xmax,ymin,ymax,xsiz,0.0,4.0,dftest2,'X','Y','Var','Power = 2','X(m)','Y(m)','Feature',cmap)\n",
    "\n",
    "plt.subplot(133)\n",
    "GSLIB.locpix_st(invdist_map_power3,xmin,xmax,ymin,ymax,xsiz,0.0,4.0,dftest2,'X','Y','Var','Power = 3','X(m)','Y(m)','Feature',cmap)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=0.6, wspace=0.2, hspace=0.2) \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Check the Impact of Radius\n",
    "\n",
    "Radius is the maximum distance to look for neighbouring data\n",
    "\n",
    "* limited radius may result is image artifacts as data abruptly are excluded"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Estimated   1264 blocks \n",
      "      average   2.39116744243245  variance  1.049982892969484\n",
      "  Estimated   9852 blocks \n",
      "      average   1.8721620915639599  variance  0.7914133099779668\n",
      "  Estimated   10000 blocks \n",
      "      average   2.4797288690464803  variance  0.5062609912988218\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = [250,600,800,400]; y = [800,500,700,100]; vr = [1.0,2.0,3.0,4.0]\n",
    "dftest3 = pd.DataFrame({'X':x,'Y':y,'Var':vr})\n",
    "tmin = -9999.9; tmax = 9999.9; \n",
    "nx = 100; xsiz = 10.0; xmn = 5.0; xmin = xmn - 0.5 * xsiz; xmax = xmin + nx * xsiz\n",
    "ny = 100; ysiz = 10.0; ymn = 5.0; ymin = ymn - 0.5 * ysiz; ymax = ymin + ny * ysiz\n",
    "ndmin = 1; ndmax = 100\n",
    "power = 2\n",
    "\n",
    "invdist_map_radius1 = invdist(dftest3,'X','Y','Var',tmin,tmax,nx,xmn,xsiz,ny,ymn,ysiz,ndmin,ndmax,radius = 100,power=2)\n",
    "invdist_map_radius2 = invdist(dftest3,'X','Y','Var',tmin,tmax,nx,xmn,xsiz,ny,ymn,ysiz,ndmin,ndmax,radius = 500,power=2)\n",
    "invdist_map_radius3 = invdist(dftest3,'X','Y','Var',tmin,tmax,nx,xmn,xsiz,ny,ymn,ysiz,ndmin,ndmax,radius = 2000,power=2)\n",
    "\n",
    "# plot the reuslting estimated maps\n",
    "plt.subplot(131)\n",
    "GSLIB.locpix_st(invdist_map_radius1,xmin,xmax,ymin,ymax,xsiz,0.0,4.0,dftest3,'X','Y','Var','Radius = 100','X(m)','Y(m)','Feature',cmap)\n",
    "\n",
    "plt.subplot(132)\n",
    "GSLIB.locpix_st(invdist_map_radius2,xmin,xmax,ymin,ymax,xsiz,0.0,4.0,dftest3,'X','Y','Var','Radius = 500','X(m)','Y(m)','Feature',cmap)\n",
    "\n",
    "plt.subplot(133)\n",
    "GSLIB.locpix_st(invdist_map_radius3,xmin,xmax,ymin,ymax,xsiz,0.0,4.0,dftest3,'X','Y','Var','Radius = 2000','X(m)','Y(m)','Feature',cmap)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=2.0, top=0.6, wspace=0.2, hspace=0.2) \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Inverse Distance Porosity Map\n",
    "\n",
    "Now we are ready to build a map of our porosity spatial feature.\n",
    "\n",
    "* try experimenting with various powers and radii"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  Estimated   10000 blocks \n",
      "      average   0.12259182211006514  variance  0.0005453252377003847\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tmin = -9999.9; tmax = 9999.9; \n",
    "nx = 100; xsiz = 10.0; xmn = 5.0; xmin = xmn - 0.5 * xsiz; xmax = xmin + nx * xsiz\n",
    "ny = 100; ysiz = 10.0; ymn = 5.0; ymin = ymn - 0.5 * ysiz; ymax = ymin + ny * ysiz\n",
    "ndmin = 1; ndmax = 100\n",
    "radius = 2000; power = 2\n",
    "\n",
    "invdist_map_porosity = invdist(df,'X','Y','Porosity',tmin,tmax,nx,xmn,xsiz,ny,ymn,ysiz,ndmin,ndmax,radius,power)\n",
    "\n",
    "# plot the reuslting estimated maps\n",
    "plt.subplot(131)\n",
    "GSLIB.locpix_st(invdist_map_porosity,xmin,xmax,ymin,ymax,xsiz,0.0,0.25,df,'X','Y','Porosity','Inverse Distance Porosity, Power = ' + str(power),'X(m)','Y(m)','Porosity',cmap)\n",
    "\n",
    "plt.subplots_adjust(left=0.0, bottom=0.0, right=3.5, top=1.2, wspace=0.2, hspace=0.2) \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Comments\n",
    "\n",
    "This was a basic demonstration of spatial estimation. Much more could be done, I have other demonstrations on the basics of working with DataFrames, ndarrays, univariate statistics, plotting data, declustering, data transformations and many other workflows available at https://github.com/GeostatsGuy/PythonNumericalDemos and https://github.com/GeostatsGuy/GeostatsPy. \n",
    "  \n",
    "I hope this was helpful,\n",
    "\n",
    "*Michael*\n",
    "\n",
    "#### The Author:\n",
    "\n",
    "### Michael Pyrcz, Associate Professor, University of Texas at Austin \n",
    "*Novel Data Analytics, Geostatistics and Machine Learning Subsurface Solutions*\n",
    "\n",
    "With over 17 years of experience in subsurface consulting, research and development, Michael has returned to academia driven by his passion for teaching and enthusiasm for enhancing engineers' and geoscientists' impact in subsurface resource development. \n",
    "\n",
    "For more about Michael check out these links:\n",
    "\n",
    "#### [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)\n",
    "\n",
    "#### Want to Work Together?\n",
    "\n",
    "I hope this content is helpful to those that want to learn more about subsurface modeling, data analytics and machine learning. Students and working professionals are welcome to participate.\n",
    "\n",
    "* Want to invite me to visit your company for training, mentoring, project review, workflow design and / or consulting? I'd be happy to drop by and work with you! \n",
    "\n",
    "* Interested in partnering, supporting my graduate student research or my Subsurface Data Analytics and Machine Learning consortium (co-PIs including Profs. Foster, Torres-Verdin and van Oort)? My research combines data analytics, stochastic modeling and machine learning theory with practice to develop novel methods and workflows to add value. We are solving challenging subsurface problems!\n",
    "\n",
    "* I can be reached at mpyrcz@austin.utexas.edu.\n",
    "\n",
    "I'm always happy to discuss,\n",
    "\n",
    "*Michael*\n",
    "\n",
    "Michael Pyrcz, Ph.D., P.Eng. Associate Professor The Hildebrand Department of Petroleum and Geosystems Engineering, Bureau of Economic Geology, The Jackson School of Geosciences, The University of Texas at Austin\n",
    "\n",
    "#### More Resources Available at: [Twitter](https://twitter.com/geostatsguy) | [GitHub](https://github.com/GeostatsGuy) | [Website](http://michaelpyrcz.com) | [GoogleScholar](https://scholar.google.com/citations?user=QVZ20eQAAAAJ&hl=en&oi=ao) | [Book](https://www.amazon.com/Geostatistical-Reservoir-Modeling-Michael-Pyrcz/dp/0199731446) | [YouTube](https://www.youtube.com/channel/UCLqEr-xV-ceHdXXXrTId5ig)  | [LinkedIn](https://www.linkedin.com/in/michael-pyrcz-61a648a1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "pygments_lexer": "ipython3",
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